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   "source": [
    "# 项目名称\n",
    "\n",
    "##  评比解释：本次项目比赛总计分为100分，由各小组评选+模型评分+模型耗时 综合得出\n",
    "\n",
    "##  小组第一将每人获赠书籍一本\n",
    "\n",
    "##  项目说明（此处填写本组对实战项目的简要说明）\n",
    "\n",
    "##  小组分工\n",
    "####  数据处理 ： 张三 \n",
    "####  特征工程 ： 李四\n",
    "####  模型解释 ： 王五\n",
    "####  模型优化 ： 杨六\n",
    "####  报告撰写 ： 王二\n",
    "####  组织协调 ： 孙四\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part  01   数据处理 \n",
    "####  读入数据\n",
    "####  数据信息\n",
    "####  数据分析（可视化）\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part  02   特征工程\n",
    "####  缺失值处理\n",
    "####  归一化等\n",
    "####  onehot 编码\n",
    "####  等等"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Part  03   模型解释 \n",
    "####  问题建模\n",
    "####  模型选择"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Part  04  模型优化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####  参数调整\n",
    "####  交叉验证\n",
    "####  学习曲线\n",
    "####   等等"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Part  05  模型评分\n",
    "####  评分说明\n",
    "####  评分结果\n",
    "####  预测提交"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Part  06  模型耗时\n"
   ]
  }
 ],
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